Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Triantafyllos Kanakis"'
Autor:
Hussein Alkhazraji, Triantafyllos Kanakis, Ali Al-Sherbaz, Wesam Sameer Bhaya, Michael Opoku Agyeman
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 103988- (2024)
Map matching integrates positioning data with road network information to accurately identify a vehicle exact location on a specific road. Modern location-based services heavily rely on accurate map matching techniques to match observed trajectories
Externí odkaz:
https://doaj.org/article/c810c82c8eb946acb313867cec1b57e2
Publikováno v:
Journal of Communications Software and Systems, Vol 19, Iss 1, Pp 91-102 (2023)
The 3G Partnership Project (3GPP) defined network slicing as a set of resources that could be scaled up and down to cover users' requirements. Machine learning and network slicing will be used together to manage and optimize resources efficiently. Sh
Externí odkaz:
https://doaj.org/article/5bde81ddd2df4bb39324b7f75ad109f2
Publikováno v:
IEEE Access, Vol 10, Pp 66481-66491 (2022)
In Software-Defined Networks, the Intrusion Detection System is receiving growing attention, due to the expansion of the internet and cloud storage. This system is vital for institutions that use cloud services and have many users. Although the Intru
Externí odkaz:
https://doaj.org/article/39b1d28bed2149a4a1dae8b0dc796d36
Publikováno v:
IEEE Access, Vol 10, Pp 14301-14310 (2022)
Software-Defined Networking is an innovative architecture approach in the networking field. This technology allows networks to be centrally and intelligently managed by unified applications such as traffic classification and security management. Trad
Externí odkaz:
https://doaj.org/article/8f6e4056e57a4e6ea4b6367df0501ad0
Publikováno v:
IEEE Access, Vol 9, Pp 62533-62552 (2021)
In-network softwarization, Network Slicing provides scalability and flexibility through various services such as Quality of Service (QoS) and Quality of Experience (QoE) to cover the network demands. For the QoS, a set of policies must be considered
Externí odkaz:
https://doaj.org/article/b63132ee7999451f8ea69f254571f0c8
Publikováno v:
IEEE Access, Vol 8, Pp 13294-13304 (2020)
While the causes of power system outages are often complex and multi-faceted, an apparent deficit in generation compared to a known demand for electricity could be more alarming. A sudden hike in demand at any given time may ultimately result in the
Externí odkaz:
https://doaj.org/article/3e9f8cc8cbe84af9bae35a58d0fb4669
Publikováno v:
2022 International Conference on Information and Communication Technology Convergence (ICTC)
Network slicing is a key role in future networks. 5G networks are intended to meet the different service demands of an application offered to users. The 5G architecture is used to match the requirement of the Quality of Service (QoS) by addressing di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1200bef9a074b1ef2019d6d89b0f60e
https://doi.org/10.1109/ictc55196.2022.9952446
https://doi.org/10.1109/ictc55196.2022.9952446
Publikováno v:
Electronics; Volume 11; Issue 15; Pages: 2441
Recently, video streaming services consumption has grown massively and is foreseen to increase even more in the future. The tremendous traffic usage has negatively impacted the network’s quality of service due to network congestion and end-to-end c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a60edd4788779200c3b6bdb147dafb97
Publikováno v:
IEEE SoutheastCon 2022
Adaptive single user receivers are demonstrated in this paper for a Cooperative Virtual MIMO network applying Spread Spectrum Sequences. In asynchronous decentralized cooperative systems, it is expected that, for typical wireless environments, user t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6d1c075581291e9ce09a4ec4114993f
https://doi.org/10.1109/southeastcon48659.2022.9763980
https://doi.org/10.1109/southeastcon48659.2022.9763980
Autor:
Ghaith Al-Tameemi, James Xue, Suraj Ajit, Triantafyllos Kanakis, Israa Hadi, Thar Baker, Mohammed Al-Khafajiy, Rawaa Al-Jumeily
Publikováno v:
2021 14th International Conference on Developments in eSystems Engineering (DeSE)
Education providers are increasingly using artificial techniques for predicting students' performance based on their interactions in Virtual Learning Environments (VLE). In this paper, the Open University Learning Analytics Dataset (OULAD), which con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16a4c702aaa0c09b9c8396e5253ad029
http://nectar.northampton.ac.uk/16227/1/Al_Tameemi_etal_DeSE_2021_A_Deep_Neural_Network_Based_Prediction_Model_for_Students_Academic_Performance.pdf
http://nectar.northampton.ac.uk/16227/1/Al_Tameemi_etal_DeSE_2021_A_Deep_Neural_Network_Based_Prediction_Model_for_Students_Academic_Performance.pdf
